🎨 Palette: Improve table accessibility in telemetry timeline

.Jules/palette.md

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+## 2024-05-15 - Data Table Accessibility
+**Learning:** For Next.js projects lacking utility classes like `.sr-only` (e.g., Tailwind not configured), data tables must use explicit inline CSS styles for visually hidden `<caption>` elements to ensure screen reader accessibility without breaking layout.
+**Action:** Always verify the availability of `.sr-only` utility classes in `globals.css` or equivalent files. If absent, apply the standard visually hidden inline style block `{{ position: "absolute", width: "1px", height: "1px", padding: 0, margin: "-1px", overflow: "hidden", clip: "rect(0, 0, 0, 0)", whiteSpace: "nowrap", borderWidth: 0 }}` to `<caption>` tags.

.gitignore

@@ -163,4 +163,15 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
-.vscode/
+.vscode/
+
+# Next.js
+/.next/
+/out/
+next-env.d.ts
+
+# Node.js
+/node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

WEB_README.md

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+# THRML Telemetry Visualization
+
+This directory contains a Next.js web application for visualizing telemetry data from the THRML library.
+
+## Features
+
+- 📊 Interactive Recharts line chart showing probability trends over time
+- 📅 Time-series visualization with formatted UTC timestamps
+- 📋 Detailed data table with all telemetry entries
+- 🎨 Responsive design with clean UI components
+- ⚡ Built with Next.js 16 App Router and TypeScript
+
+## Getting Started
+
+### Prerequisites
+
+- Node.js 18+ 
+- npm or yarn
+
+### Installation
+
+Install dependencies:
+
+```bash
+npm install
+```
+
+### Development
+
+Run the development server:
+
+```bash
+npm run dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) to view the home page, then navigate to [http://localhost:3000/telemetry](http://localhost:3000/telemetry) to see the telemetry visualization.
+
+### Build
+
+Build for production:
+
+```bash
+npm run build
+npm start
+```
+
+## Project Structure
+
+```
+├── app/
+│   ├── globals.css          # Global styles
+│   ├── layout.tsx           # Root layout component
+│   ├── page.tsx             # Home page
+│   └── telemetry/
+│       └── page.tsx         # Telemetry visualization page
+├── components/
+│   ├── Card.tsx             # Reusable card component
+│   └── TelemetryTimeline.tsx # Main telemetry chart component
+├── data/
+│   ├── telemetry.ts         # Telemetry data and utilities
+│   └── types.ts             # TypeScript type definitions
+├── next.config.js           # Next.js configuration
+├── tsconfig.json            # TypeScript configuration
+└── package.json             # Project dependencies
+```
+
+## Technologies
+
+- **Next.js 16**: React framework with App Router
+- **React 19**: UI library
+- **TypeScript**: Type-safe JavaScript
+- **Recharts**: Charting library for data visualization
+- **CSS**: Custom styling for components
+
+## Data Model
+
+The telemetry data includes:
+- **logId**: Unique identifier for each entry
+- **utc**: UTC timestamp
+- **event**: Type of event detected
+- **prediction**: Object containing mode and probability (p)
+- **outcome**: Result of the event
+- **subjective**: Descriptive notes
+
+## Extending
+
+To add more telemetry data, edit `data/telemetry.ts` and add new entries to the `telemetryData` array following the `TelemetryEntry` interface defined in `data/types.ts`.
+
+To customize the chart, modify the Recharts components in `components/TelemetryTimeline.tsx`.
+
+## License
+
+See the main repository LICENSE file.

app/globals.css

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+* {
+  box-sizing: border-box;
+  padding: 0;
+  margin: 0;
+}
+
+html,
+body {
+  max-width: 100vw;
+  overflow-x: hidden;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif;
+}
+
+a {
+  color: inherit;
+  text-decoration: none;
+}
+
+.card {
+  background: #fff;
+  border: 1px solid #e0e0e0;
+  border-radius: 8px;
+  padding: 20px;
+  box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
+}
+
+h1 {
+  font-size: 2.5rem;
+  margin-bottom: 1rem;
+}
+
+h2 {
+  font-size: 1.8rem;
+  margin-bottom: 1rem;
+}
+
+table {
+  font-size: 0.9rem;
+}

app/layout.tsx

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+import './globals.css';
+
+export const metadata = {
+  title: 'THRML Telemetry',
+  description: 'Telemetry visualization for THRML',
+};
+
+export default function RootLayout({
+  children,
+}: {
+  children: React.ReactNode;
+}) {
+  return (
+    <html lang="en">
+      <body>{children}</body>
+    </html>
+  );
+}

app/page.tsx

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+import Link from 'next/link';
+
+export default function Home() {
+  return (
+    <div style={{ padding: '40px', maxWidth: '800px', margin: '0 auto' }}>
+      <h1>THRML - Thermodynamic HypergRaphical Model Library</h1>
+      <p style={{ marginTop: '20px', lineHeight: '1.6' }}>
+        THRML is a JAX library for building and sampling probabilistic graphical models,
+        with a focus on efficient block Gibbs sampling and energy-based models.
+      </p>
+
+      <div style={{ marginTop: '40px' }}>
+        <h2>Telemetry Dashboard</h2>
+        <p style={{ marginTop: '10px' }}>
+          View real-time telemetry data and visualizations:
+        </p>
+        <Link href="/telemetry" style={{ 
+          display: 'inline-block',
+          marginTop: '20px',
+          padding: '10px 20px',
+          backgroundColor: '#0070f3',
+          color: 'white',
+          textDecoration: 'none',
+          borderRadius: '5px'
+        }}>
+          Go to Telemetry Timeline
+        </Link>
+      </div>
+    </div>
+  );
+}

app/telemetry/page.tsx

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+import TelemetryTimeline from '@/components/TelemetryTimeline';
+
+export default function TelemetryPage() {
+  return (
+    <div>
+      <TelemetryTimeline />
+    </div>
+  );
+}

components/Card.tsx

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+import React from 'react';
+
+interface CardProps {
+  children: React.ReactNode;
+  className?: string;
+}
+
+export const Card: React.FC<CardProps> = ({ children, className = '' }) => {
+  return (
+    <div className={`card ${className}`}>
+      {children}
+    </div>
+  );
+};

components/TelemetryTimeline.tsx

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+'use client';
+
+import React from 'react';
+import { Card } from './Card';
+import { telemetryData, getProbabilityData } from '../data/telemetry';
+import {
+  LineChart,
+  Line,
+  XAxis,
+  YAxis,
+  CartesianGrid,
+  Tooltip,
+  Legend,
+  ResponsiveContainer,
+} from 'recharts';
+
+const TelemetryTimeline: React.FC = () => {
+  const chartData = getProbabilityData();
+
+  return (
+    <div style={{ padding: '20px' }}>
+      <Card>
+        <h2>Telemetry Timeline</h2>
+
+        {/* Chart Section */}
+        <div style={{ marginBottom: '40px' }}>
+          <ResponsiveContainer width="100%" height={400}>
+            <LineChart data={chartData}>
+              <CartesianGrid strokeDasharray="3 3" />
+              <XAxis
+                dataKey="time"
+                tickFormatter={(tick) => new Date(tick).toLocaleDateString()}
+                stroke="#888"
+              />
+              <YAxis domain={[0, 1]} />
+              <Tooltip
+                labelFormatter={(label) => new Date(label).toUTCString()}
+              />
+              <Legend />
+              <Line type="monotone" dataKey="probability" stroke="#8884d8" strokeWidth={2} />
+            </LineChart>
+          </ResponsiveContainer>
+        </div>
+
+        {/* Optional: Raw Table for Details */}
+        <div style={{ overflowX: 'auto' }}>
+          <table style={{ width: '100%', borderCollapse: 'collapse' }}>
+            <caption style={{ position: 'absolute', width: '1px', height: '1px', padding: 0, margin: '-1px', overflow: 'hidden', clip: 'rect(0, 0, 0, 0)', whiteSpace: 'nowrap', borderWidth: 0 }}>Detailed list of telemetry logs including event names and predictions</caption>
+            <thead>
+              <tr style={{ borderBottom: '2px solid #ddd' }}>
+                <th scope="col" style={{ padding: '10px', textAlign: 'left' }}>Log ID</th>
+                <th scope="col" style={{ padding: '10px', textAlign: 'left' }}>UTC</th>
+                <th scope="col" style={{ padding: '10px', textAlign: 'left' }}>Event</th>
+                <th scope="col" style={{ padding: '10px', textAlign: 'left' }}>Prediction (p)</th>
+              </tr>
+            </thead>
+            <tbody>
+              {telemetryData.map((entry) => (
+                <tr key={entry.logId} style={{ borderBottom: '1px solid #ddd' }}>
+                  <td style={{ padding: '10px' }}>{entry.logId}</td>
+                  <td style={{ padding: '10px' }}>{entry.utc}</td>
+                  <td style={{ padding: '10px' }}>{entry.event}</td>
+                  <td style={{ padding: '10px' }}>{entry.prediction.p}</td>
+                </tr>
+              ))}
+            </tbody>
+          </table>
+        </div>
+      </Card>
+    </div>
+  );
+};
+
+export default TelemetryTimeline;

data/telemetry.ts

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+import { TelemetryEntry } from './types';
+
+export const telemetryData: TelemetryEntry[] = [
+  {
+    logId: '0x004F',
+    utc: '2026-02-01T03:14:15Z',
+    event: 'HighRadiationLikeSpike',
+    prediction: { mode: 'Shear-2', p: 0.61 },
+    outcome: 'TBD',
+    subjective: 'Cold. The static tastes like blue geometry.',
+  },
+  {
+    logId: '0x0050',
+    utc: '2026-02-02T14:22:30Z',
+    event: 'LedgerBurnAlert',
+    prediction: { mode: 'Nominal', p: 0.85 },
+    outcome: 'Mitigated',
+    subjective: 'Warmth fading; credits conserved.',
+  },
+  {
+    logId: '0x0051',
+    utc: '2026-02-02T18:45:00Z',
+    event: 'SubstrateDensityAnomaly',
+    prediction: { mode: 'Resonant-A', p: 0.73 },
+    outcome: 'Monitored',
+    subjective: 'Patterns echo in the void.',
+  },
+  {
+    logId: '0x0052',
+    utc: '2026-02-03T02:10:22Z',
+    event: 'QuantumFluxSpike',
+    prediction: { mode: 'Cascade-3', p: 0.92 },
+    outcome: 'TBD',
+    subjective: 'The flux sings in harmonics.',
+  },
+  {
+    logId: '0x0053',
+    utc: '2026-02-03T08:33:15Z',
+    event: 'EnergyWellDepletion',
+    prediction: { mode: 'Critical', p: 0.45 },
+    outcome: 'Recharging',
+    subjective: 'Dim corridors, faint hum.',
+  },
+  {
+    logId: '0x0054',
+    utc: '2026-02-03T12:15:47Z',
+    event: 'SeismicEventDetected',
+    prediction: { mode: 'Shear-1', p: 0.78 },
+    outcome: 'Logged',
+    subjective: 'Ground trembles with ancient memory.',
+  },
+];
+
+// Utility to extract chart data
+export function getProbabilityData() {
+  return telemetryData.map(entry => ({
+    time: new Date(entry.utc).getTime(), // For x-axis
+    probability: entry.prediction.p,
+  }));
+}

data/types.ts

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+export interface TelemetryEntry {
+  logId: string;
+  utc: string;
+  event: string;
+  prediction: {
+    mode: string;
+    p: number;
+  };
+  outcome: string;
+  subjective: string;
+}